code: def setup_method(self):
      super().setup_method()
      self.image_fixture_path = str(
          self.FIXTURES_ROOT
          / "data"
          / "images"
          / "COCO_train2014_000000458752.jpg"
      )
  
      torchvision.set_image_backend("accimage")
  
      # Create a few small images of different sizes from the fixture.
      image = torchvision.io.read_image(self.image_fixture_path)
      assert image.shape == (3, 480, 640)
  
      image1 = image[:, 0:7, 0:15]
      image2 = image[:, 0:9, 0:12]
      torchvision.io.write_jpeg(
          image1, str(self.TEST_DIR / "image1.jpg")
      )
      torchvision.io.write_jpeg(
          image2, str(self.TEST_DIR / "image2.jpg")
      )
  
file_path: allennlp/tests/data/image_loader_test.py
imports: import pytest
  import torch
  import torchvision
  from allennlp.common.testing import AllenNlpTestCase, multi_device
  from allennlp.data.image_loader import TorchImageLoader
label_desc: Use image node_id 1 for calling the TorchImageLoaderTest obj's underlying member method code with example usage: obj.setup_method() without return types